diff --git a/src/agents/common/middlewares/summary_middleware.py b/src/agents/common/middlewares/summary_middleware.py
index e36e8f9a..27052448 100644
--- a/src/agents/common/middlewares/summary_middleware.py
+++ b/src/agents/common/middlewares/summary_middleware.py
@@ -132,7 +132,8 @@ def _offload_tool_result(msg: ToolMessage, threshold: int, token_counter: TokenC
         return None
 
     # 计算 token 数
-    if token_counter([msg]) <= threshold:
+    msg_tokens = token_counter([msg])
+    if msg_tokens <= threshold:
         return None
 
     # 获取工具名称和参数
@@ -450,23 +451,6 @@ class SummaryOffloadMiddleware(AgentMiddleware):
 
         return result
 
-    def _should_summarize_based_on_reported_tokens(self, messages: list[AnyMessage], threshold: float) -> bool:
-        """Check if reported token usage from last AIMessage exceeds threshold."""
-        last_ai_message = next(
-            (msg for msg in reversed(messages) if isinstance(msg, AIMessage)),
-            None,
-        )
-        if (  # noqa: SIM103
-            isinstance(last_ai_message, AIMessage)
-            and last_ai_message.usage_metadata is not None
-            and (reported_tokens := last_ai_message.usage_metadata.get("total_tokens", -1))
-            and reported_tokens >= threshold
-            and (message_provider := last_ai_message.response_metadata.get("model_provider"))
-            and message_provider == self.model._get_ls_params().get("ls_provider")  # noqa: SLF001
-        ):
-            return True
-        return False
-
     def _should_summarize(self, messages: list[AnyMessage], total_tokens: int) -> bool:
         """Determine whether summarization should run for the current token usage."""
         if not self._trigger_conditions:
@@ -477,8 +461,6 @@ class SummaryOffloadMiddleware(AgentMiddleware):
                 return True
             if kind == "tokens" and total_tokens >= value:
                 return True
-            if kind == "tokens" and self._should_summarize_based_on_reported_tokens(messages, value):
-                return True
             if kind == "fraction":
                 max_input_tokens = self._get_profile_limits()
                 if max_input_tokens is None:
@@ -488,9 +470,6 @@ class SummaryOffloadMiddleware(AgentMiddleware):
                     threshold = 1
                 if total_tokens >= threshold:
                     return True
-
-                if self._should_summarize_based_on_reported_tokens(messages, threshold):
-                    return True
         return False
 
     def _determine_cutoff_index(self, messages: list[AnyMessage]) -> int: